Token Classification
Transformers
Safetensors
English
bert
biomedical
named-entity-recognition
ner
biolinkbert
biored
gene
disease
variant
gdv-scout
Eval Results (legacy)
Instructions to use nobal/gdv-scout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nobal/gdv-scout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nobal/gdv-scout")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nobal/gdv-scout") model = AutoModelForTokenClassification.from_pretrained("nobal/gdv-scout", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aae32fc6c7ad5040358f77769600f537b6283b462ace0d5d73c6752a0459997
- Size of remote file:
- 5.33 kB
- SHA256:
- 26ff289b8ee00c429c8c0c24379435c6e3ec5f60520e2c2a19ffabdd8d7031c1
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